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A two period moving average forecast for equity instruments is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.
The simple moving average model is conceptually a linear regression of the current value of price price series against current and previous (unobserved) value of equity instruments. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Simple Moving Average In A Nutshell

When picking what period length to use, keep in mind the longer you extend to period, the smoother the line will be. Conversely, the shorter the periods the more choppy and variable the line may be. One way to use the moving average is to gauge when a stock is getting to far away, as this can allow you to implement the idea of mean reversion. Using the moving average in conjunction with standard deviation or Bollinger Bands, you can get an idea of where the price average is and plan accordingly.

When you first hop onto a charting platform and look at the tools, you will note the various types of moving averages. You can essentially pick any average type for any given length of time. For this article, we will specifically go over the simple moving average and how you can use it in your investing and trading techniques. How the moving average is calculated is by adding up all the closing prices for the period you determine, and dividing them by the total number of periods you have chosen. Not that you will ever need to do this, it is nice to understand how the tool you are using works.

Closer Look at Simple Moving Average

When implementing this, you want to play around with the periods to full understand what will work best for you trading style. Popular periods include the 20 period, 50 period, and 200 period, but these certainly are not the ones you have to use. Be sure to also use it on a demo account first and tweak everything to your liking. You may even end up finding it doesn’t work for you. Either way, this is a great tool to simply gauge where the market has been and where it might want to be. If you need ideas, join an investing community and bounce your ideas off of everyone, as they are more than willing to help.

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The classical approach to portfolio optimization is known as Modern Portfolio Theory (MPT). It involves categorizing the investment universe based on risk (standard deviation) and return, and then choosing the mix of investments that achieves the desired risk-versus-return tradeoff. Portfolio optimization can also be thought of as a risk-management strategy as every type of equity has a distinct return and risk characteristics as well as different systemic risks, which describes how they respond to the market at large. Macroaxis enables investors to optimize portfolios that have a mix of equities (such as stocks, funds, or ETFs) and cryptocurrencies (such as Bitcoin, Ethereum or Monero)
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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.

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